An R package AZIAD for analysing zero-inflated and zero-altered data
An R package AZIAD for analysing zero-inflated and zero-altered data
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DOI：
10.1080/00949655.2023.2207020
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发表时间：
2023-11-02
影响因子：
1.2
通讯作者：
Yang, Jie
中科院分区：
文献类型：
--
作者：
Mousavi, Niloufar Dousti;Aldirawi, Hani;Yang, Jie
本文介绍了一个新开发的用于分析零膨胀或零改变数据的R软件包AZIAD。与现有的R包相比，AZIAD涵盖了更大的零膨胀和障碍模型，包括离散和连续的情况。它提供了更准确的参数估计值，沿着相应的Fisher信息矩阵和置信区间。它在模型识别和选择方面具有更大的能力。为了方便潜在的用户，在本文中，我们提供了详细的公式和理论的理由AZIAD，以及新的理论结果的零膨胀和零改变模型。我们使用模拟研究，以显示AZIAD功能的优势，现有的R包，并提供真实的数据的例子和可执行的R代码来说明如何使用我们的包稀疏数据分析和模型选择。
We introduce a newly developed R package AZIAD for analysing zero-inflated or zero-altered data. Compared with existing R packages, AZIAD covers a much larger class of zero-inflated and hurdle models, including both discrete and continuous cases. It provides more accurate parameter estimates, along with the corresponding Fisher information matrix and confidence intervals. It achieves significantly larger power for model identification and selection. To facilitate the potential users, in this paper we provide detailed formulae and theoretical justifications for AZIAD, as well as new theoretical results on zero-inflated and zero-altered models. We use simulation studies to show the advantages of AZIAD functions over existing R packages and provide real data examples and executable R code to illustrate how to use our package for sparse data analysis and model selection.